Applied Researcher I

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
McLean, VACambridge, MASan Jose, CANew York, NY
Employment
Full-time
Posted
102 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $228k
$173k $289k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $201,825–$254,750.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Applied Researcher I

The Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) joins the AI Foundations team to develop trustworthy, reliable AI systems for banking. Working within a cross-functional team of data scientists, software engineers, and product managers, the researcher will build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation. The role involves leveraging a technology stack including Pytorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to extract insights from large volumes of numeric and textual data. Key responsibilities include conducting high-impact applied research to push the latest AI developments into production. The work focuses on solving complex business problems by creating scalable, high-performance AI infrastructure and delivering models at scale for training data and inference volumes.

What you'll do

  • Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
  • Conduct high-impact applied research to integrate the latest AI developments into next-generation customer experiences.
  • Leverage technologies like PyTorch, AWS Ultraclusters, and VectorDBs to extract insights from large numeric and textual datasets.
  • Deliver AI-powered products by partnering with cross-functional teams of data scientists, engineers, and product managers.
  • Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
  • Develop and deliver libraries, platform-level code, or solution-level code for existing products.
  • Translate complex technical work into tangible business goals for stakeholders.

What we're looking for

  • Currently have or are obtaining a PhD in a relevant field, or an M.S. plus 2 years of experience in Applied Research.
  • Have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
  • Possess a deep understanding of the foundations of AI methodologies.
  • Have experience building large deep learning models for language, images, events, or graphs.
  • Possess expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
  • Have a track record of delivering models at scale in terms of training data and inference volumes.
  • Have experience delivering libraries, platform-level code, or solution-level code to existing products.
  • Have a track record of high-quality machine learning ideas or improvements, such as first-author publications (preferred).

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